Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

Sleep is composed of a number of different stages, each associated with a different pattern of brain activity. Here, using a data-driven Hidden Markov Model (HMM) of fMRI data, the authors discover a more complex set of neural activity states underlying the conventional stages of non-REM sleep.

Bibliographic Details
Main Authors: A. B. A. Stevner, D. Vidaurre, J. Cabral, K. Rapuano, S. F. V. Nielsen, E. Tagliazucchi, H. Laufs, P. Vuust, G. Deco, M. W. Woolrich, E. Van Someren, M. L. Kringelbach
Format: Article
Language:English
Published: Nature Publishing Group 2019-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-08934-3
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spelling doaj-6a01557f740a48f48cad86a10ab82ea42021-05-11T12:17:43ZengNature Publishing GroupNature Communications2041-17232019-03-0110111410.1038/s41467-019-08934-3Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleepA. B. A. Stevner0D. Vidaurre1J. Cabral2K. Rapuano3S. F. V. Nielsen4E. Tagliazucchi5H. Laufs6P. Vuust7G. Deco8M. W. Woolrich9E. Van Someren10M. L. Kringelbach11Department of Psychiatry, University of Oxford, Warneford HospitalWellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity (OHBA), University of Oxford, Warneford HospitalDepartment of Psychiatry, University of Oxford, Warneford HospitalDepartment of Psychological and Brain Sciences, Dartmouth CollegeDepartment of Applied Mathematics and Computer Science, Technical University of DenmarkNetherlands Institute for NeuroscienceDepartment of Neurology, University Hospital Schleswig Holstein, Christian-Alrbrechts-UniversitätCenter for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus UniversityCenter for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu FabraWellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity (OHBA), University of Oxford, Warneford HospitalNetherlands Institute for NeuroscienceDepartment of Psychiatry, University of Oxford, Warneford HospitalSleep is composed of a number of different stages, each associated with a different pattern of brain activity. Here, using a data-driven Hidden Markov Model (HMM) of fMRI data, the authors discover a more complex set of neural activity states underlying the conventional stages of non-REM sleep.https://doi.org/10.1038/s41467-019-08934-3
collection DOAJ
language English
format Article
sources DOAJ
author A. B. A. Stevner
D. Vidaurre
J. Cabral
K. Rapuano
S. F. V. Nielsen
E. Tagliazucchi
H. Laufs
P. Vuust
G. Deco
M. W. Woolrich
E. Van Someren
M. L. Kringelbach
spellingShingle A. B. A. Stevner
D. Vidaurre
J. Cabral
K. Rapuano
S. F. V. Nielsen
E. Tagliazucchi
H. Laufs
P. Vuust
G. Deco
M. W. Woolrich
E. Van Someren
M. L. Kringelbach
Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
Nature Communications
author_facet A. B. A. Stevner
D. Vidaurre
J. Cabral
K. Rapuano
S. F. V. Nielsen
E. Tagliazucchi
H. Laufs
P. Vuust
G. Deco
M. W. Woolrich
E. Van Someren
M. L. Kringelbach
author_sort A. B. A. Stevner
title Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_short Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_full Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_fullStr Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_full_unstemmed Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_sort discovery of key whole-brain transitions and dynamics during human wakefulness and non-rem sleep
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-03-01
description Sleep is composed of a number of different stages, each associated with a different pattern of brain activity. Here, using a data-driven Hidden Markov Model (HMM) of fMRI data, the authors discover a more complex set of neural activity states underlying the conventional stages of non-REM sleep.
url https://doi.org/10.1038/s41467-019-08934-3
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